Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for developing an in-depth understanding of the world of vision. Variations …

With surveillance systems using capturing and observing techniques, it is now much easier
to identify things and individuals for security. However, variability in patterns due to device …

The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …

Smart conveyance techniques are crucial in modern society, enabling efficient traffic
management and ensuring public safety. Therefore, this paper proposes a novel approach …

Multi-sensor data fusion has played a crucial role in a wide range of daily life activities
including smart homes, sports, healthcare, and so on. This work has presented a …

Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Object detection and recognition have emerged as crucial research areas, driven by the dire
need to address the challenges posed by identifying and recognizing objects in diverse …

Recent strides in visionary technologies have profoundly impacted the domain of multi-
object recognition, serving as a linchpin in transformative applications such as augmented …

The integration of Artificial Intelligence (AI) models in Industrial Internet of Things (IIoT)
systems has emerged as a pivotal area of research, offering unprecedented opportunities for …

Monitoring traffic is of vital relevance in our modern scenario. Over the years, standard ways
of capturing data, such as induction loops and camcorders, were applied for this aim …